Siracusa vs San Luca: result 6-1 and analysis
Serie D - Girone IGroup I - 8Kick-off on October 15, 2023 at 02:00 PM (UTC)Stadio Nicola de Simone, Siracusa
Full time
What was the result of Siracusa vs San Luca?
Siracusa won 6-1 on October 15, 2023.
Goalscorers
- 29′?Siracusa
- 41′?Siracusa
- 43′?Siracusa
- 47′?Siracusa
- 75′?San Luca
- 76′?Siracusa
- 81′?Siracusa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Siracusa have 11 wins, 1 draw and 3 defeats; San Luca have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2023 | Lamezia Terme(away) | 4-1 | Serie D - Girone I |
| Oct 4, 2023 | Acireale(home) | 3-1 | Serie D - Girone I |
| Oct 1, 2023 | La Fenice Amaranto(away) | 2-1 | Serie D - Girone I |
| Sep 24, 2023 | Igea Virtus(home) | 1-0 | Serie D - Girone I |
| Sep 20, 2023 | Sancataldese(away) | 6-1 | Serie D - Girone I |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2023 | Lamezia Terme(home) | 2-5 | Serie D - Girone I |
| Oct 1, 2023 | Acireale(away) | 1-2 | Serie D - Girone I |
| Sep 24, 2023 | La Fenice Amaranto(home) | 0-0 | Serie D - Girone I |
| Sep 20, 2023 | Igea Virtus(away) | 0-0 | Serie D - Girone I |
| Sep 17, 2023 | Sancataldese(home) | 2-1 | Serie D - Girone I |
How many goals should we expect?
Siracusa score 2.2 and concede 1.1 goals per match over their last 15; San Luca score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Siracusa | 2.2 | 1.1 | 5 | 10/15 | 11/15 |
| San Luca | 0.7 | 1.1 | 5 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Siracusa | 9 | 4 | 3 | 2 | 13 | 8 | 8 |
A question about Siracusa vs San Luca?
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy